AutoML Leaderboard

Best model name model_type metric_type metric_value train_time single_prediction_time
1_Linear Linear accuracy 0.930131 30.25 0.0319
2_Default_LightGBM LightGBM accuracy 0.962882 27.45 0.017
3_Default_Xgboost Xgboost accuracy 0.962882 27.61 0.0229
4_Default_CatBoost CatBoost accuracy 0.965066 27.32 0.0153
5_Default_NeuralNetwork Neural Network accuracy 0.934498 25.89 0.0289
6_Default_RandomForest Random Forest accuracy 0.921397 30.07 0.1462
11_LightGBM LightGBM accuracy 0.938865 27.36 0.0119
7_Xgboost Xgboost accuracy 0.949782 28.25 0.0123
15_CatBoost CatBoost accuracy 0.965066 28.26 0.019
19_RandomForest Random Forest accuracy 0.960699 30.18 0.1544
23_NeuralNetwork Neural Network accuracy 0.943231 27.74 0.0377
12_LightGBM LightGBM accuracy 0.967249 28.78 0.0111
8_Xgboost Xgboost accuracy 0.960699 28.64 0.0159
16_CatBoost CatBoost accuracy 0.962882 29.26 0.0209
20_RandomForest Random Forest accuracy 0.923581 31.19 0.1406
24_NeuralNetwork Neural Network accuracy 0.941048 28.28 0.0303
13_LightGBM LightGBM accuracy 0.967249 28.2 0.0123
9_Xgboost Xgboost accuracy 0.89738 28.24 0.0169
17_CatBoost CatBoost accuracy 0.967249 29.14 0.0165
21_RandomForest Random Forest accuracy 0.899563 30.84 0.1379
25_NeuralNetwork Neural Network accuracy 0.936681 28.97 0.0396
14_LightGBM LightGBM accuracy 0.967249 30.63 0.0116
10_Xgboost Xgboost accuracy 0.502183 29.14 0.0131
18_CatBoost CatBoost accuracy 0.965066 29.87 0.0129
22_RandomForest Random Forest accuracy 0.914847 31.49 0.1518
26_NeuralNetwork Neural Network accuracy 0.943231 28.93 0.0357
14_LightGBM_GoldenFeatures LightGBM accuracy 0.962882 31.65 0.0362
17_CatBoost_GoldenFeatures CatBoost accuracy 0.958515 30.24 0.0339
13_LightGBM_GoldenFeatures LightGBM accuracy 0.956332 30.79 0.0323
27_LightGBM LightGBM accuracy 0.965066 31.37 0.0126
28_CatBoost CatBoost accuracy 0.967249 30.62 0.0184
29_LightGBM LightGBM accuracy 0.962882 30 0.0174
30_LightGBM LightGBM accuracy 0.969432 30.53 0.0111
31_CatBoost CatBoost accuracy 0.969432 30.15 0.0143
32_Xgboost Xgboost accuracy 0.949782 31.02 0.0128
33_RandomForest Random Forest accuracy 0.960699 32.4 0.1572
34_RandomForest Random Forest accuracy 0.941048 32.84 0.1487
35_Xgboost Xgboost accuracy 0.954148 31.76 0.0137
36_NeuralNetwork Neural Network accuracy 0.91048 31.56 0.0285
37_NeuralNetwork Neural Network accuracy 0.91048 30.74 0.0369
38_NeuralNetwork Neural Network accuracy 0.943231 31.05 0.029
39_NeuralNetwork Neural Network accuracy 0.938865 30.66 0.049
40_RandomForest Random Forest accuracy 0.958515 33.89 0.1399
41_RandomForest Random Forest accuracy 0.91048 33.33 0.1298
42_CatBoost CatBoost accuracy 0.969432 32.63 0.0163
43_LightGBM LightGBM accuracy 0.967249 31.89 0.0117
44_CatBoost CatBoost accuracy 0.967249 31.59 0.0151
45_CatBoost CatBoost accuracy 0.967249 31.68 0.0192
46_LightGBM LightGBM accuracy 0.965066 31.68 0.0136
47_Xgboost Xgboost accuracy 0.962882 32.56 0.0131
the best Ensemble Ensemble accuracy 0.973799 2.86 0.0381

AutoML Performance

AutoML Performance

AutoML Performance Boxplot

AutoML Performance Boxplot

Features Importance

features importance across models

Spearman Correlation of Models

models spearman correlation